TY - GEN
T1 - Special target recognition and location using differential image detection technology
AU - Luo, Xiao
AU - Luo, Qingsheng
AU - Han, Baoling
AU - Gao, Cai
PY - 2010
Y1 - 2010
N2 - It is well known that the special objectives such as military cave storage is hard to be recognized and located by routine method because of camouflage technology. This paper presents a new algorithm basing on differential image detection and edge detection technology. Firstly, extracting some target images at different period while in the same position. Then using preprocessing technology to define the object region for analyzed. The third, adopting differential detection algorithm for image comparison, filtering the noise which may influence detection results by setting proper gray threshold. After excluding the interference factors such as working environment, phenophase, experimental instrument, light condition and so on, we can determine the shape feature of target's boundary. Experimental results demonstrate that this algorithm can realize fast processing, high accuracy recognition, insensitive to the noise and is effective for increasing the capability of special target recognition and location such as military cave storage.
AB - It is well known that the special objectives such as military cave storage is hard to be recognized and located by routine method because of camouflage technology. This paper presents a new algorithm basing on differential image detection and edge detection technology. Firstly, extracting some target images at different period while in the same position. Then using preprocessing technology to define the object region for analyzed. The third, adopting differential detection algorithm for image comparison, filtering the noise which may influence detection results by setting proper gray threshold. After excluding the interference factors such as working environment, phenophase, experimental instrument, light condition and so on, we can determine the shape feature of target's boundary. Experimental results demonstrate that this algorithm can realize fast processing, high accuracy recognition, insensitive to the noise and is effective for increasing the capability of special target recognition and location such as military cave storage.
KW - Differential image detection technology
KW - Edge detection
KW - Sobel algorithm
KW - Target recognition
UR - http://www.scopus.com/inward/record.url?scp=78449298237&partnerID=8YFLogxK
U2 - 10.1109/IHMSC.2010.128
DO - 10.1109/IHMSC.2010.128
M3 - Conference contribution
AN - SCOPUS:78449298237
SN - 9780769541518
T3 - Proceedings - 2010 2nd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2010
SP - 116
EP - 119
BT - Proceedings - 2010 2nd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2010
T2 - 2010 2nd International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2010
Y2 - 26 August 2010 through 28 August 2010
ER -